halomod.tools.spline_integral¶

halomod.tools.spline_integral(x: ~numpy.ndarray, f: ~numpy.ndarray, xmin: [None, <class 'float'>] = None, xmax: [None, <class 'float'>] = None, log: bool = True) → float[source]¶

Perform an integral using a spline function over a vector of data.

The purpose of this function is to do robust integration when the bounds of integration don’t necessarily fall on a particular x co-ordinate. It falls back to integrating over all x if no explicit xmin is given.

Parameters:

x – The co-ordinates of the integral
f – The integrand at x (same shape as x).
xmin – The lower bound of the integral.
xmax – The upper bound of the integral.
log – Whether to interpolate the integrand in log space.

Returns:

The integral from xmin to xmax.

Return type:

integral